Dr. Carlo Ciulla | Western Balkans University
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Dr. Carlo Ciulla

Lecturer
Department of Computer Sciences
Faculty of Economics, Technology and Innovation
Bio
Education
Publications
Carlo Ciulla’s former academic appointments were science and technology agency fellow (STA) at the National Institute of Bioscience and Human Technology in Tsukuba – Japan (1995 - 1997), graduate student at RUTGERS and NJIT (1998 - 2002), research associate at Yale University (2002 - 2003), postdoctoral scholar at the University of Iowa (2004 – 2005), postdoctoral scholar at the Wayne State University (2005 - 2007) and assistant professor of computer science at Lane College (2007 - 2009). During the years 2009 to 2012, he had been a self-employed scholar whom devoted his time to his research interests related to the development of innovative methods of signal interpolation and also to the development of educational software for students. In 2012, he joined the University of Information Science and Technology (UIST) St. Paul the Apostle, Ohrid, Republic of North Macedonia, as an assistant professor. In 2019, he joined Epoka University’s Department of Computer Engineering as lecturer, associate professor. In 2023, he joined WESTERN BALKANS UNIVERSITY.
  • May 2002: Ph.D. in Computer and Information Science. NJIT, New Jersey Institute of Technology, College of Computing Sciences, Department of Computer Science; Cumulative GPA: 3.80. 
  • May 2000: Master of Science in Information Systems. NJIT, New Jersey Institute of Technology; College of Computing Sciences, Department of Computer Science; Cumulative GPA: 3.70.
  • April 1994: Eng. Degree (Laurea) in Management Engineering (equivalent of US Bachelor and Master) - University of Palermo – Italy; Score: 106/110.

  1. Carlo Ciulla, Ilva Xhaferri, Fadi P. Deek, Endri Muzhaqi, Dimitar Veljanovski, Ustijana Rechkoska Shikoska, Filip A. Risteski. Sampling technique for Fourier convolution theorem based k-space filtering. Applied Research, (2023),  https://doi.org/10.1002/appl.202200109 
  2. Carlo Ciulla, Ilva Xhaferri, Empirical evidence of the extension of the Fourier convolution theorem to z-space. Signal, Image and Video Processing, (2023), https://doi.org/10.1007/s11760-023-02509-y  
  3. Carlo Ciulla, Two-dimensional z-space filtering using pulse-transfer function. Circuits Systems and Signal Processing, (2023), 42:255-276, https://doi.org/10.1007/s00034-022-02113-4 
  4. Carlo Ciulla, Inverse Fourier transformation of combined first order derivative and intensity-curvature functional of magnetic resonance angiography of the human brain. Computer Methods and Programs in Biomedicine, (2021), 211, 106384, https://doi.org/10.1016/j.cmpb.2021.106384
  5. Carlo Ciulla, Combined inverse Fourier transformation of magnetic resonance and intensity-curvature functional images. Engineering Reports, (2020), e12290, https://doi.org/10.1002/eng2.12290
  6. Carlo Ciulla, The use of the intensity-curvature measurement approaches: Applications in magnetic resonance imaging of the human brain. Engineering Reports, (2019), e12063, https://doi.org/10.1002/eng2.12063 
  7. Carlo Ciulla, Grace Agyapong, Intensity-curvature functional based digital high pass filter of the bivariate cubic B-spline model polynomial function. Visual Computing for Industry, Biomedicine, and Art, (2019), 2:1-18, https://doi.org/10.1186/s42492-019-0017-6
  8. Carlo Ciulla, Intensity-curvature functional-based filtering in image and in k-space: Applications in magnetic resonance imaging of the human brain. High Frequency, (2019), 2:48-60, https://onlinelibrary.wiley.com/doi/10.1002/hf2.10031
  9. Carlo Ciulla, Ustijana Rechkoska Shikoska, Dimitar Veljanovski, Filip A. Risteski Intensity-curvature functional-based digital high-pass filters. International Journal of Imaging Systems and Technology, (2018), 28:54-63, https://onlinelibrary.wiley.com/doi/abs/10.1002/ima.22256
  10. Carlo Ciulla, Dimitar Veljanovski, Ustijana Rechkoska Shikoska and Filip A. Risteski. Intensity-curvature measurement approaches for the diagnosis of magnetic resonance imaging brain tumors. Journal of Advanced Research, (2015), 6:1045–1069,  https://www.sciencedirect.com/science/article/pii/S209 0123215000028
  11. Carlo Ciulla, Fadi P. Deek. The sub-pixel efficacy region of the bivariate linear interpolation function. International Journal of Computer Applications in Technology. (2014), 49: 270–281. https://doi.org/10.1504/IJCAT.2014.062363 
  12. Daniel. S. J. Pandian, Carlo Ciulla, E. Mark Haacke, Jing Jiang, Muhammad Ayaz. Complex threshold method for identifying pixels that contain predominantly noise in magnetic resonance images. Journal of Magnetic Resonance Imaging, (2008), 28:727–735. https://doi.org/10.1002/jmri.21487 
  13. E. Mark Haacke, Cristina L. Filleti, Ramtilak Gattu, Carlo Ciulla, Areen Al-Bashir, Krithivasan Suryanarayanan, Meng Li, Zahid Latif, Zach DelProposto, Vivek Sehgal, Tao Li, Vidya Torquato, Rajesh Kanaparti, Jing Jiang, and Jaladhar Neelavalli. New algorithm for quantifying vascular changes in dynamic contrast-enhanced MRI independent of absolute T1 values. Magnetic Resonance in Medicine, (2007), 58:463-472. https://doi.org/10.1002/mrm.21358 
  14. E. Mark Haacke, Muhammad Ayaz, Asadullah Khan, Elena S. Manova, Bharani Krishnamurthy, Lakshman Gollapalli, Carlo Ciulla, I. Kim, Floyd Petersen, and Wolff Kirsch. Establishing a baseline phase behavior in magnetic resonance imaging to determine normal vs. abnormal iron content in the brain. Journal of Magnetic Resonance Imaging, (2007), 26:256–264.  https://doi.org/10.1002/jmri.22987
  15. Carlo Ciulla and Fadi .P. Deek. Performance assessment of an algorithm for the alignment of fMRI time series. Brain Topography, (2002), 14:313-332, https://link.springer.com/article/10.1023/A:1015756812054 
  16. Carlo Ciulla, Tsunehiro Takeda and Hiroshi Endo. MEG characterization of spontaneous alpha rhythm in the human brain. Brain Topography, (1999), 11: 211-222, https://link.springer.com/article/10.1023/A:1022233828999